1

app.py

@@ -12,9 +12,8 @@ import cv2
 
 
 API_URL = "https://api-inference.huggingface.co/models/facebook/wav2vec2-base-960h"
-headers = {"Authorization": "Bearer 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"}
-#HF_TOKEN = os.environ["HF_TOKEN"]
-#headers = {"Authorization": f"Bearer {HF_TOKEN}"}
+HF_TOKEN = os.environ["HF_TOKEN"]
+headers = {"Authorization": f"Bearer {HF_TOKEN}"}
 
 
 def generate_transcripts(in_video): #generate_gifs(in_video, gif_transcript):
@@ -307,10 +306,10 @@ with demo:
 
          ```
          
-         While working on apps for [Gradio Blocks Party](https://huggingface.co/Gradio-Blocks) I have gained a tremendous amount of knowledge about Gradio and Huggingface APIs and infrastructure. I was also able to polish my understanding and learn new things on some of the key and most interesting ML aspects like Question Answering, Sentence Trnasformers, Summarization, Image Generation, LLMs, Prompt Engineering, and now ASR and Video processing. 
-         I absolutely love Spaces, I believe Spaces is much more than a platform to showcase your ML demos. I suppose it can act like an ML Product Sandbox with the benefits whole of Huggingface might and infra behind it. I believe Spaces can become sort of a playground for future ML products and ideas. ALl of this is extremely exciting.
+         While working on apps for [Gradio Blocks Party](https://huggingface.co/Gradio-Blocks) I have gained a good amount of knowledge about Gradio and Huggingface APIs and infrastructure. Such events help you to revise and develop your understanding of various ML applications and tools. For example, couple apps I have recently worked on included concepts like Question Answering, Sentence Trnasformers, Summarization, Image Generation, LLMs, Prompt Engineering, and now ASR and Video processing. 
+         I absolutely enjoy building on Spaces, and I believe Spaces is much more than just a platform to showcase your ML demos. I suppose it has the potential to act like an ML Product Sandbox with the benefit of now having entire Huggingface infrastructure behind it. I believe Spaces can become some sort of a playground for future ML products and ideas. All of this is extremely exciting and I hope for the best outcome.
          
-         Thanks for reading so far, I will see you at my next submission. Keep learning and sharing.
+         Thanks for reading so far, I will see you at my next Space demo. Keep learning and sharing.
          
          My last two Gradio Blocks Party apps can be found here -